{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit WARNING: [11:02:29] Enabling RDKit 2020.03.1dev1 jupyter extensions\n"
     ]
    }
   ],
   "source": [
    "from rdkit import Chem\n",
    "from rdkit.Chem import Draw\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "from rdkit.Chem.Scaffolds import rdScaffoldNetwork"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f7be08cf170>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Flucloxacillin\n",
    "m = Chem.MolFromSmiles('Cc1onc(-c2c(F)cccc2Cl)c1C(=O)N[C@@H]1C(=O)N2[C@@H](C(=O)O)C(C)(C)S[C@H]12')\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<rdkit.Chem.Scaffolds.rdScaffoldNetwork.NetworkEdge_VECT object at 0x7f7be08cfa30>\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=800x600 at 0x7F7BE08DF2E8>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = rdScaffoldNetwork.ScaffoldNetworkParams()\n",
    "params.includeGenericScaffolds = True\n",
    "params.includeScaffoldsWithoutAttachments = False\n",
    "net = rdScaffoldNetwork.CreateScaffoldNetwork([m],params)\n",
    "print(net.edges)\n",
    "nodemols = [Chem.MolFromSmiles(x) for x in net.nodes]\n",
    "Draw.MolsToGridImage(nodemols,legends=[str(x) for x in range(len(nodemols))],molsPerRow=4)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800px\"\n",
       "            height=\"600px\"\n",
       "            src=\"basic.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f7bde743908>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyvis.network import Network\n",
    "from urllib import parse\n",
    "g = Network(notebook=True,height='600px',width='800px')\n",
    "for i,smi in enumerate(net.nodes):\n",
    "    qsmi = parse.quote(smi)\n",
    "    imgurl = f\"https://mol-renderer2-dev.t5ix.io/to_img/mol.png?smiles={qsmi}&w=200&h=150\"\n",
    "    g.add_node(i,shape=\"image\",label=' ',\n",
    "               image =imgurl, title=f'<img src=\"{imgurl}\"/>')\n",
    "for e in net.edges:\n",
    "    g.add_edge(e.beginIdx,e.endIdx,label=str(e.type))\n",
    "g.show(\"basic.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## More complex example with multiple molecules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=800x800 at 0x7F7BDE743E48>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Flucloxacillin\n",
    "flu = Chem.MolFromSmiles('Cc1onc(-c2c(F)cccc2Cl)c1C(=O)N[C@@H]1C(=O)N2[C@@H](C(=O)O)C(C)(C)S[C@H]12')\n",
    "# ampicillin\n",
    "amp = Chem.MolFromSmiles('CC1(C)S[C@@H]2[C@H](NC(=O)[C@H](N)c3ccccc3)C(=O)N2[C@H]1C(=O)O')\n",
    "# penicillin\n",
    "pen = Chem.MolFromSmiles('CC1(C)SC2C(NC(=O)Cc3ccccc3)C(=O)N2C1C(=O)O.[Na]')\n",
    "# oxacillin\n",
    "ox = Chem.MolFromSmiles('Cc1onc(-c2ccccc2)c1C(=O)N[C@@H]1C(=O)N2[C@@H](C(=O)O)C(C)(C)S[C@H]12')\n",
    "params = rdScaffoldNetwork.ScaffoldNetworkParams()\n",
    "params.includeGenericScaffolds = True\n",
    "params.includeScaffoldsWithoutAttachments = False\n",
    "net = rdScaffoldNetwork.CreateScaffoldNetwork([flu,amp,pen,ox],params)\n",
    "nodemols = [Chem.MolFromSmiles(x) for x in net.nodes]\n",
    "Draw.MolsToGridImage(nodemols,legends=[str(x) for x in range(len(nodemols))],molsPerRow=4)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800px\"\n",
       "            height=\"600px\"\n",
       "            src=\"multiple.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f7bde6e7550>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "maxCount = max(net.counts)\n",
    "g = Network(notebook=True,height='600px',width='800px')\n",
    "for i,smi in enumerate(net.nodes):\n",
    "    qsmi = parse.quote(smi)\n",
    "    imgurl = f\"https://mol-renderer2-dev.t5ix.io/to_img/mol.png?smiles={qsmi}&w=200&h=150\"\n",
    "    g.add_node(i,shape=\"image\",label=' ',\n",
    "               image =imgurl, title=f'<img src=\"{imgurl}\"/>', size=30*net.counts[i]/maxCount)\n",
    "for e in net.edges:\n",
    "    g.add_edge(e.beginIdx,e.endIdx,label=str(e.type))\n",
    "g.show(\"multiple.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800px\"\n",
       "            height=\"600px\"\n",
       "            src=\"simple.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f7bde743b38>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyvis.network import Network\n",
    "from urllib import parse\n",
    "\n",
    "m = Chem.MolFromSmiles('c1ccccc1CC1NC(=O)CCC1')\n",
    "\n",
    "params = rdScaffoldNetwork.ScaffoldNetworkParams()\n",
    "net = rdScaffoldNetwork.CreateScaffoldNetwork([m],params)\n",
    "nodemols = [Chem.MolFromSmiles(x) for x in net.nodes]\n",
    "from collections import Counter\n",
    "maxCount = max(net.counts)\n",
    "g = Network(notebook=True,height='600px',width='800px')\n",
    "for i,smi in enumerate(net.nodes):\n",
    "    qsmi = parse.quote(smi)\n",
    "    imgurl = f\"https://mol-renderer2-dev.t5ix.io/to_img/mol.png?smiles={qsmi}&w=200&h=150\"\n",
    "    g.add_node(i,shape=\"image\",label=' ',\n",
    "               image =imgurl, title=f'<img src=\"{imgurl}\"/>', size=30*net.counts[i]/maxCount)\n",
    "for e in net.edges:\n",
    "    g.add_edge(e.beginIdx,e.endIdx,label=str(e.type))\n",
    "g.show(\"simple.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type('fo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mergeAttachPointsToAtoms(mol,propName='attachPt'):\n",
    "    if type(mol) == type('foo'):\n",
    "        mol = Chem.MolFromSmiles(mol)\n",
    "        returnSmiles = True\n",
    "    else:\n",
    "        returnSmiles = False\n",
    "    rwm = Chem.RWMol(mol)\n",
    "    # start by tagging all the neighbors:\n",
    "    toRemove = []\n",
    "    for at in rwm.GetAtoms():\n",
    "        if at.GetAtomicNum()==0 and at.GetDegree()==1:\n",
    "            nbr = at.GetNeighbors()[0]\n",
    "            if at.GetIsotope():\n",
    "                iso = str(at.GetIsotope())\n",
    "            else:\n",
    "                iso = ''\n",
    "            nbr.SetProp('attachPt',f'[{iso}*]')\n",
    "            if nbr.GetIsAromatic() and nbr.GetAtomicNum() != 6:\n",
    "                nbr.SetNoImplicit(True)\n",
    "                nbr.SetNumExplicitHs(1)\n",
    "            toRemove.append(at.GetIdx())\n",
    "    # now remove the atoms\n",
    "    for idx in sorted(toRemove,reverse=True):\n",
    "        rwm.RemoveAtom(idx)\n",
    "    if not returnSmiles:\n",
    "        return rwm.GetMol()\n",
    "    else:\n",
    "        return Chem.MolToCXSmiles(rwm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "O=C1CCCC(NC(=O)c2ccccc2)N1\n",
      "c1ccccc1 |atomProp:2.attachPt.[*]|\n",
      "O=CNC1CCCC(=O)N1 |atomProp:1.attachPt.[*]|\n",
      "O=C1CCCCN1 |atomProp:5.attachPt.[*]|\n",
      "NC(=O)c1ccccc1 |atomProp:0.attachPt.[*]|\n",
      "NC=O |atomProp:0.attachPt.[*]:1.attachPt.[*]|\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800px\"\n",
       "            height=\"600px\"\n",
       "            src=\"simple2.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f7be08bdd30>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyvis.network import Network\n",
    "from urllib import parse\n",
    "\n",
    "m = Chem.MolFromSmiles('c1ccccc1C(=O)NC1NC(=O)CCC1')\n",
    "params = rdScaffoldNetwork.ScaffoldNetworkParams()\n",
    "params.keepOnlyFirstFragment=False\n",
    "params.includeGenericScaffolds=False\n",
    "params.includeScaffoldsWithoutAttachments=False\n",
    "net = rdScaffoldNetwork.CreateScaffoldNetwork([m],params)\n",
    "nodemols = [Chem.MolFromSmiles(x) for x in net.nodes]\n",
    "from collections import Counter\n",
    "maxCount = max(net.counts)\n",
    "g = Network(notebook=True,height='600px',width='800px')\n",
    "for i,smi in enumerate(net.nodes):\n",
    "    smi = mergeAttachPointsToAtoms(smi)\n",
    "    print(smi)\n",
    "    qsmi = parse.quote(smi)\n",
    "    imgurl = f\"https://mol-renderer2-dev.t5ix.io/to_img/mol.png?smiles={qsmi}&w=200&h=150\"\n",
    "    g.add_node(i,shape=\"image\",label=' ',\n",
    "               image =imgurl, title=f'<img src=\"{imgurl}\"/>', size=30*net.counts[i]/maxCount)\n",
    "for e in net.edges:\n",
    "    g.add_edge(e.beginIdx,e.endIdx,label=str(e.type))\n",
    "g.show(\"simple2.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "O=C1CCCC(NC(=O)c2ccccc2)N1\n",
      "O=Cc1ccccc1 |atomProp:1.attachPt.[1*]|\n",
      "NC1CCCC(=O)N1 |atomProp:0.attachPt.[5*]|\n",
      "NC(=O)c1ccccc1 |atomProp:0.attachPt.[5*]|\n",
      "O=C1CCCCN1 |atomProp:5.attachPt.[13*]|\n",
      "O=CNC1CCCC(=O)N1 |atomProp:1.attachPt.[6*]|\n",
      "c1ccccc1 |atomProp:2.attachPt.[16*]|\n",
      "NC=O |atomProp:0.attachPt.[5*]:1.attachPt.[6*]|\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800px\"\n",
       "            height=\"600px\"\n",
       "            src=\"simple3.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f7bdc266f28>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyvis.network import Network\n",
    "from urllib import parse\n",
    "\n",
    "m = Chem.MolFromSmiles('c1ccccc1C(=O)NC1NC(=O)CCC1')\n",
    "params = rdScaffoldNetwork.BRICSScaffoldParams()\n",
    "params.keepOnlyFirstFragment=False\n",
    "params.includeGenericScaffolds=False\n",
    "params.includeScaffoldsWithoutAttachments=False\n",
    "net = rdScaffoldNetwork.CreateScaffoldNetwork([m],params)\n",
    "nodemols = [Chem.MolFromSmiles(x) for x in net.nodes]\n",
    "from collections import Counter\n",
    "maxCount = max(net.counts)\n",
    "g = Network(notebook=True,height='600px',width='800px')\n",
    "\n",
    "# do a viz where we only show nodes with at least 5 atoms:\n",
    "keepNodes = set()\n",
    "for i,smi in enumerate(net.nodes):\n",
    "    if(Chem.MolFromSmiles(smi,sanitize=False).GetNumAtoms()<=4):\n",
    "        continue\n",
    "    smi = mergeAttachPointsToAtoms(smi)\n",
    "    print(smi)\n",
    "    keepNodes.add(i)\n",
    "    qsmi = parse.quote(smi)\n",
    "    imgurl = f\"https://mol-renderer2-dev.t5ix.io/to_img/mol.png?smiles={qsmi}&w=200&h=150\"\n",
    "    g.add_node(i,shape=\"image\",label=' ',\n",
    "               image =imgurl, title=f'<img src=\"{imgurl}\"/>', size=30*net.counts[i]/maxCount)\n",
    "for e in net.edges:\n",
    "    if e.beginIdx in keepNodes and e.endIdx in keepNodes:\n",
    "        g.add_edge(e.beginIdx,e.endIdx,label=str(e.type))\n",
    "g.show(\"simple3.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10, 20)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(net.nodes),len(net.edges)"
   ]
  }
 ],
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